CONSUMPTION PREDICTION SYSTEM AND CONSUMPTION PREDICTION METHOD

A consumption prediction method includes the following steps: calculating a personal preference correlation coefficient; inputting historical environment data, a historical consumption record and the personal preference correlation coefficient into a first neural network model; a training model is g...

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Bibliographic Details
Main Authors CHEN, Chun-Hung, LEE, Chen-Chung, HUNG, Chien-Kuo, CHEN, Wen-Kuang
Format Patent
LanguageEnglish
Published 30.09.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A consumption prediction method includes the following steps: calculating a personal preference correlation coefficient; inputting historical environment data, a historical consumption record and the personal preference correlation coefficient into a first neural network model; a training model is generated by the first neural network model; and determining whether the accuracy rate of the training model is higher than the training threshold. When the accuracy rate of the training model is higher than the training threshold, the training model is regarded as a prediction model.
Bibliography:Application Number: US202017000681